Program Manager - Data Solutions (AI PMO at AuxoAI in Irvine, California, United States
- Company: AuxoAI
- Location: Irvine, California, United States
- Posted: Sep 21, 2026
- Type: Full-time
- Salary: $120k-$150 plus 10% bonus
- Experience: 6+ years
Overview
About AuxoAI AuxoAI helps enterprises transform how they operate by combining business consulting, data, engineering, and Agentic AI. We are building an AI-native consulting model in which every team member is expected to use AI thoughtfully to improve speed, insight, quality, and client outcomes.
Job description
- About AuxoAI
- AuxoAI helps enterprises transform how they operate by combining business consulting, data, engineering, and Agentic AI. We are building an AI-native consulting model in which every team member is expected to use AI thoughtfully to improve speed, insight, quality, and client outcomes.
Responsibilities
- · Maintain the integrated delivery plan for data migration, conversion, cleansing, reconciliation, and validation activities.
- · Coordinate business data owners, source-system teams, data engineers, functional teams, testing teams, and the System Integrator.
- · Track data objects, conversion cycles, mock loads, entry and exit criteria, defects, reconciliations, and business sign-offs.
- · Manage dependencies between source extraction, transformation rules, Oracle load processes, downstream validation, and cutover sequencing.
- · Facilitate data readiness reviews and drive resolution of quality, mapping, ownership, timing, and environment issues.
- · Prepare concise status reporting on conversion progress, data quality, open defects, reconciliation results, and readiness risks.
- · Support SIT, UAT, business simulation, cutover rehearsals, production migration, and hypercare validation.
- · Ensure decisions, assumptions, mapping changes, and unresolved data issues are traceable and assigned to accountable owners.
- · Use AI to summarize mapping documents, identify conflicting transformation rules, and highlight incomplete data ownership decisions.
- · Generate AI-assisted conversion status narratives, reconciliation summaries, defect themes, and data-quality risk insights.
- · Apply AI to compare source-to-target specifications, workshop decisions, and test evidence for traceability gaps.
- · Develop repeatable prompts or workflows that improve the speed and consistency of data PMO activities.
- · Use enterprise AI tools such as ChatGPT Enterprise, Claude Enterprise, Gemini, or equivalent platforms to accelerate delivery and improve decision-making.
- · Apply AI to automate meeting summaries, action-item tracking, status reporting, executive communications, and document synthesis.
- · Use AI-assisted analysis to identify delivery risks, cross-team dependencies, emerging bottlenecks, and areas requiring leadership attention.
- · Continuously identify PMO activities that can be simplified, standardized, or automated through AI and workflow automation.
- · Validate AI-generated outputs for accuracy, confidentiality, traceability, and business relevance before they are used in program decisions.
- · Collaborate with consulting, data, engineering, and AI teams to pilot and scale AI-enabled delivery practices across the program.
Requirements
- · 4-6 years of experience in project coordination, project management, data delivery, or enterprise transformation.
- · Understanding of data migration concepts including extraction, cleansing, mapping, conversion, validation, and reconciliation.
- · Experience coordinating cross-functional teams and tracking milestones, dependencies, risks, issues, and decisions.
- · Strong Excel, documentation, analytical, and communication skills.
- · Ability to translate technical data issues into clear business and program impacts.
- · Comfort using AI tools to analyze documents, summarize findings, and improve reporting.
- · Experience with Oracle Fusion data conversion, FBDI, ADFdi, or related Oracle data-load methods.
- · Exposure to SQL, ETL/ELT, Snowflake, Informatica, Oracle Integration Cloud, or similar platforms.
- · Experience supporting mock conversions, reconciliations, SIT, UAT, or cutover.
- · Experience with Jira, Azure DevOps, Power BI, Tableau, Smartsheet, or Microsoft Project.
- · Familiarity with data governance, data quality, and master data management.
Skills
Required
- Project coordination
- Project management
- Data delivery
- Enterprise transformation
- Data migration concepts
- Cross-functional team coordination
- Milestone tracking
- Dependency tracking
- Risk tracking
- Issue tracking
- Decision tracking
- Excel
Preferred
- Oracle Fusion data conversion
- FBDI
- ADFdi
- SQL
- ETL/ELT
- Snowflake
- Informatica
- Oracle Integration Cloud